Senior Specialist, Business Insights & Analytics

Job Description

Role Summary  

The Senior Specialist, Business Insights & Analytics (BIA) is a strategic analytics partner supporting commercial, marketing, and omnichannel decision-making across priority therapeutic areas.  This role transforms complex internal and external data into clear, actionable insights that shape brand strategy, customer engagement, sales effectiveness, and business performance.  

Acting as a data translator, the Senior Specialist BIA bridges business needs with analytics, data science, market research, and technology teams. The role contributes actively to a data-driven culture, ensures alignment with global analytics frameworks, and may mentor junior analysts while collaborating within the international BIA community.  

Primary Responsibilities  

1. Business & Commercial Insights  

• Analyze current and historical performance data to identify trends, opportunities, and risks across brands, campaigns, customers, and channels.  

• Provide fact-based recommendations to support marketing strategy, sales execution, forecasting, and omnichannel effectiveness.  

• Translate complex analytics into clear narratives tailored to senior and nontechnical stakeholders.  

• Deliver ad-hoc analyses to support strategic and operational decision making. 

2. Performance Measurement & Reporting  

• Contribute to the design of dashboards and standard reports tracking KPIs related to brand performance, sales force effectiveness, and customer engagement.  

• Ensure consistency, equity, and robustness of KPIs across therapeutic areas and functions.  

• Monitor campaign, brand, and omnichannel performance, highlighting insights and opportunities.  

• Continuously improve reporting processes in collaboration with IT, global teams, and external partners.  

3. Advanced Analytics & Synthesis  

• Leverage advanced analytics outputs (e.g. forecasting, segmentation, spend optimization) to enrich insights and recommendations.  

• Partner closely with Data Science teams to contribute to or interpret predictive models when relevant.  

• Support business planning and forecasting accuracy through analytical input and scenario analysis.  

• Identify and integrate new data sources such as primary or secondary Market Research.  

• Partner with IT, Data Stewards, and external providers to ensure data quality, integrity, and governance.  

• Support compliant data usage in line with local and global policies (e.g. GDPR, market research standards).

4. AI-Enabled Productivity & Insights 

• Embraces AI as a core capability and proactively identifies opportunities to apply AI solutions to business challenges and operational processes. 

• Champions the responsible adoption of AI, balancing innovation with governance, compliance, and ethical considerations. 

• Uses AI tools to augment analysis, decision-making, content development, and workflow execution, improving team productivity and business impact. 

• Contributes to and supports the design and implementation of AI-enabled solutions that deliver measurable value and accelerate business outcomes.

5. Cross-Functional Collaboration & Enablement  

• Act as a trusted analytics partner to Marketing,  Sales and DHH Capabilities Enablement teams.  

• Collaborate within the global BIA community to share best practices and ensure strategic alignment.  

• Contribute to data literacy initiatives and mentor junior analysts where applicable. 

Qualifications & Experience  

• Master’s degree in Business, Economics, Statistics, Data Science, or related field  

• 5+ years in analytics or data analysis (regulated industry preferred) 

• Commercial, marketing, or sales support experience required; pharma/healthcare a plus

• Advanced skills with Excel, SQL, Tableau, Power BI; Python/R knowledge is beneficial
• Working knowledge of AI and Generative AI technologies, including responsible and compliant use within a business environment.

• Experience leveraging AI tools to improve productivity, analysis, content development, and decision-making.

• Ability to interpret complex data, deliver actionable insights, and communicate effectively

• Strategic problem solver with strong business acumen and storytelling skills 

• Collaborative team player experienced across business and technical teams 

• Adaptable and willing to learn new tools and approaches 

• Professional English for global collaboration is required; fluency in local language is preferred

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